Demographics details for Prince frederick, MD vs Pratt, KS
Population Overview
Compare main population characteristics in Prince frederick, MD vs Pratt, KS.
| Data | Prince frederick | Pratt |
|---|---|---|
| Population | 2,491 | 9,067 |
| Median Age | 38.9 years | 37.6 years |
| Median Income | $61,293 | $61,685 |
| Married Families | 33.0% | 36.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Prince frederick vs Pratt
- The population in Pratt is higher at 9,067, compared to 2,491 in Prince frederick.
- Residents in Prince frederick have a higher median age of 38.9 years compared to 37.6 years in Pratt.
- Pratt has a higher median income of $61,685, compared to $61,293 in Prince frederick.
- In Pratt, the percentage of married families is higher at 36.0%, compared to 33.0% in Prince frederick.
- The poverty level is higher in Pratt at 12%, compared to 6% in Prince frederick.
- The unemployment rate in Prince frederick is higher at 3.2%, compared to 3.1% in Pratt.
Demographics
Demographics Prince frederick vs Pratt provide insight into the diversity of the communities to compare.
| Demographic | Prince frederick | Pratt |
|---|---|---|
| Black | 28 | 2 |
| White | 49 | 83 |
| Asian | 2 | Data is updating |
| Hispanic | 13 | 8 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Prince frederick vs Pratt
- A higher percentage of Black residents are in Prince frederick at 28% compared to 2% in Pratt.
- The percentage of White residents is higher in Pratt at 83% compared to 49% in Prince frederick.
- The Asian population is larger in Prince frederick at 2% compared to 0% in Pratt.
- The Hispanic community is larger in Prince frederick at 13% compared to 8% in Pratt.
- More residents identify as two or more races in Prince frederick at 8% compared to 6% in Pratt.
- In Pratt, the percentage of American Indian residents is higher at 1%, compared to 0% in Prince frederick.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Prince frederick | Pratt |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.4% |
| Physical Health Not Good | 10.4% | 9.9% |
| Depression | 19.6% | 19.7% |
| Smoking | 15.6% | 17.0% |
| Binge Drinking | 15.9% | 19.0% |
| Obesity | 38.7% | 39.4% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Prince frederick vs Pratt
- More residents in Prince frederick report poor mental health at 16.8% compared to 15.4% in Pratt.
- Higher depression rates are seen in Pratt at 19.7% versus 19.6% in Prince frederick.
- Pratt has a higher smoking rate at 17.0% compared to 15.6% in Prince frederick.
- More residents engage in binge drinking in Pratt at 19.0% compared to 15.9% in Prince frederick.
- Pratt has higher obesity rates at 39.4% compared to 38.7% in Prince frederick.
- Disability percentages are higher in Prince frederick at 14.0% compared to 13.0% in Pratt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Prince frederick | Pratt |
|---|---|---|
| No Schooling | 0.4% (10) | 0.2% (22) |
| High School Diploma | 19.1% (476) | 15.0% (1,362) |
| Less than High School | 9.7% (242) | 10.3% (936) |
| Bachelor's Degree and Higher | 14.4% (358) | 18.0% (1,634) |
Education Levels Comparison: Prince frederick vs Pratt
- A higher percentage of residents in Prince frederick have no formal schooling at 0.4% compared to 0.2% in Pratt.
- A higher percentage of residents in Prince frederick hold a high school diploma at 19.1% compared to 15.0% in Pratt.
- The percentage of residents with less than a high school education is higher in Pratt at 10.3%, compared to 9.7% in Prince frederick.
- In Pratt, a larger share of residents have a bachelor's degree or higher at 18.0% compared to 14.4% in Prince frederick.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.